A researcher wanted to examine a new class of drug that has the potential to lower

cholesterol levels and thus help against heart attack. Due to the specific molecular

mechanisms by which this new class of drugs work, the researcher hypothesized that

the new class of drug might affect males and females differently, as well as those at

various risks of a heart attack (low risk for a potential heart attack, high risk for a

potential heart attack, or has already had a heart attack in the past). There were three

different types of drug within this new class of drug, but the researcher was unsure

which would be more successful.

Therefore, the researcher recruited 90 participants, split evenly between males and

females. Males and females were further (equally) subdivided into whether they were at

low risk of a potential heart attack, high risk of a potential heart attack or have already

had a heart attack in the past. Each of these subgroups then received one of the three

different drugs (Lipitor, Zocor, and Crestor). After one month on the different drugs,

cholesterol concentration was measured (in mmol/L). The researcher wants to

understand how the independent variables (i.e., sex, drug type, heart attack risk)

interact to predict cholesterol concentration.

Conduct a three-way factorial ANOVA. The raw scores as well as the descriptive

statistics for each cell are provided for you. SSTotal is also provided for your convenience.

Be sure to include hypotheses, graphs, assumptions, a source table, partial eta-squared

for each term tested in the source table, and a summary of your conclusion (a full APA

report is not needed). Conduct any and all applicable tests of simple effects and/or post

hoc multiple comparison tests. There is no need for a power analysis if any of the terms

within the source table are not significant.

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